| Papers
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pages |
The Constant in HATE: Toxicity in Reddit across Topics and Languages
Wondimagegnhue Tsegaye Tufa, Ilia Markov and Piek T.J.M. Vossen
[pdf] [bib] [supplementary]
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pp. 1‑11 |
A Federated Learning Approach to Privacy Preserving Offensive Language Identification
Marcos Zampieri, Damith Premasiri and Tharindu Ranasinghe
[pdf] [bib]
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pp. 12‑20 |
CLTL@HarmPot-ID: Leveraging Transformer Models for Detecting Offline Harm Potential and Its Targets in Low-Resource Languages
Yeshan Wang and Ilia Markov
[pdf] [bib]
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pp. 21‑26 |
NJUST-KMG at TRAC-2024 Tasks 1 and 2: Offline Harm Potential Identification
Jingyuan Wang, Jack Depp and Yang Yang
[pdf] [bib]
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pp. 27‑31 |
ScalarLab@TRAC2024: Exploring Machine Learning Techniques for Identifying Potential Offline Harm in Multilingual Commentaries
Anagha H C, Saatvik M. Krishna, Soumya Sangam Jha, Vartika T. Rao and Anand Kumar M
[pdf] [bib]
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pp. 32‑36 |
LLM-Based Synthetic Datasets: Applications and Limitations in Toxicity Detection
Udo Kruschwitz and Maximilian Schmidhuber
[pdf] [bib]
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pp. 37‑51 |
Using Sarcasm to Improve Cyberbullying Detection
Xiaoyu Guo and Susan Gauch
[pdf] [bib]
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pp. 52‑59 |
Analyzing Offensive Language and Hate Speech in Political Discourse: A Case Study of German Politicians
Maximilian Weissenbacher and Udo Kruschwitz
[pdf] [bib]
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pp. 60‑72 |
Ice and Fire: Dataset on Sentiment, Emotions, Toxicity, Sarcasm, Hate speech, Sympathy and More in Icelandic Blog Comments
Steinunn Rut Friðriksdóttir, Annika Simonsen, Atli Snær Ásmundsson, Guðrún Lilja Friðjónsdóttir, Anton Karl Ingason, Vésteinn Snæbjarnarson and Hafsteinn Einarsson
[pdf] [bib]
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pp. 73‑84 |
Detecting Hate Speech in Amharic Using Multimodal Analysis of Social Media Memes
Melese Ayichlie Jigar, Abinew Ali Ayele, Seid Muhie Yimam and Chris Biemann
[pdf] [bib]
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pp. 85‑95 |
Content Moderation in Online Platforms: A Study of Annotation Methods for Inappropriate Language
Baran Barbarestani, Isa Maks and Piek T.J.M. Vossen
[pdf] [bib]
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pp. 96‑104 |
FrenchToxicityPrompts: a Large Benchmark for Evaluating and Mitigating Toxicity in French Texts
Caroline Brun and Vassilina Nikoulina
[pdf] [bib]
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pp. 105‑114 |
Studying Reactions to Stereotypes in Teenagers: an Annotated Italian Dataset
Elisa Chierchiello, Tom Bourgeade, Giacomo Ricci, Cristina Bosco and Francesca D’Errico
[pdf] [bib]
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pp. 115‑125 |
Offensiveness, Hate, Emotion and GPT: Benchmarking GPT3.5 and GPT4 as Classifiers on Twitter-specific Datasets
Nikolaj Bauer, Moritz Preisig and Martin Volk
[pdf] [bib]
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pp. 126‑133 |
DoDo Learning: Domain-Demographic Transfer in Language Models for Detecting Abuse Targeted at Public Figures
Angus Redlarski Williams, Hannah Rose Kirk, Liam Burke-Moore, Yi-Ling Chung, Ivan Debono, Pica Johansson, Francesca Stevens, Jonathan Bright and Scott Hale
[pdf] [bib] [supplementary]
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pp. 134‑154 |
Empowering Users and Mitigating Harm: Leveraging Nudging Principles to Enhance Social Media Safety
Gregor Donabauer, Emily Theophilou, Francesco Lomonaco, Sathya Bursic, Davide Taibi, Davinia Hernández-Leo, Udo Kruschwitz and Dimitri Ognibene
[pdf] [bib]
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pp. 155‑166 |
Exploring Boundaries and Intensities in Offensive and Hate Speech: Unveiling the Complex Spectrum of Social Media Discourse
Abinew Ali Ayele, Esubalew Alemneh Jalew, Adem Chanie Ali, Seid Muhie Yimam and Chris Biemann
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pp. 167‑178 |
